Evaluation of digital image correlation techniques using realistic ground truth speckle images

Measurement Science and Technology

Volumn 21, Issue 5, 2010, Pages

  Cofaru, C ^a   Philips, W ^a   Van Paepegem, W ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

Digital image correlation; Interpolation; Speckle; Sub pixel

Indexed keywords

IMAGE ANALYSIS; INTERPOLATION; PIXELS; QUALITY CONTROL; RADIAL BASIS FUNCTION NETWORKS; SPECKLE; STRAIN; STRAIN MEASUREMENT;

D. DIGITAL IMAGE CORRELATION (DIC); DIGITAL IMAGE CORRELATION TECHNIQUE; DIGITAL IMAGE CORRELATIONS; EXPERIMENTAL MECHANICS; HORIZONTAL AND VERTICAL DISPLACEMENT; RADIAL BASIS FUNCTION INTERPOLATION; SUB PIXELS; SUBPIXEL MOTION ESTIMATION;

MOTION ESTIMATION;

EID: 77951098044     PISSN: 09570233     EISSN: 13616501     Source Type: Journal    
DOI: 10.1088/0957-0233/21/5/055102     Document Type: Article

References (36)

1. Sutton M A, Wolters W J, Peters W H and McNeill S R 1983 Determination of displacements using an improved digital correlation method Image Vision Comput. 1 133-9 (Pubitemid 14543957)
2. Sutton M A, McNeill S R, Jang J S and Babai M 1988 Effects of subpixel image restoration on digital correlation error estimates Opt. Eng. 27 870-7
3. Chu T C, Ranson W F and Sutton M A 1985 Applications of digital-image-correlation techniques to experimental mechanics Exp. Mech. 25 232-44
4. Chen D J, Chiang F-P, Tan Y S and Don H S 1993 Digital speckle-displacement measurement using a complex spectrum method Appl. Opt. 32 1839-49
5. Oriat L and Lantz E 1998 Subpixel detection of the center of an object using a spectral phase algorithm on the image Pattern Recognit. 31 761-71 (Pubitemid 128406965)
6. Amodio D, Broggiato G B, Campana F and Newaz G M 2003 Digital speckle correlation for strain measurement by image analysis Exp. Mech. 43 396-402 (Pubitemid 38075279)
7. Van Paepegem W, Shulev A A, Roussev I R, De Pauw S and Degrieck J 2009 Study of the deformation characteristics of window security film by digital image correlation techniques Opt. Lasers Eng. 47 390-7
8. Wattrisse B, Chrysochoos A, Muracciole J-M and Nmoz-Gaillard M 2001 Analysis of strain localization during tensile tests by digital image correlation Exp. Mech. 41 29-39 (Pubitemid 32337750)
9. Lagattu F, Brillaud J and Lafarie-Frenot M-C 2004 High strain gradient measurements by using digital image correlation technique Mater. Charact. 53 17-28
10. Bruck H A, McNeill S R, Sutton M A and Peters W H 1989 Digital image correlation using Newton-Raphson method of partial differential correction Exp. Mech. 29 261-7
11. Vendroux G and Knauss W G 1998 Submicron deformation field measurements: part 2. Improved digital image correlation Exp. Mech. 38 86-92 (Pubitemid 128552083)
12. Lu H and Cary P D 2000 Deformation measurements by digital image correlation: implementation of a second-order displacement gradient Exp. Mech. 40 393-400
13. Pan B, Xie H, Xu B and Dai F-L 2006 Performance of sub-pixel registration algorithms in digital image correlation Meas. Sci. Technol. 17 1615-21 (Pubitemid 43787587)
14. Davis C Q and Freeman D M 1998 Statistics of subpixel registration algorithms based on spatiotemporal gradients or block matching Opt. Eng. 37 1290-8
15. Zhang J, Jin G, Ma S and Meng L 2003 Application of an improved subpixel registration algorithm on digital speckle correlation measurement Opt. Laser Technol. 35 533-42
16. Schreier H W and Sutton M A 2002 Systematic errors in digital image correlation due to undermatched subset shape functions Exp. Mech. 42 303-10
17. Cheng P, Sutton M A, Schreier H W and McNeill S R 2002 Full-field speckle pattern image correlation with B-spline deformation function Exp. Mech. 42 344-52 (Pubitemid 35288941)
18. Bergen J R, Burt P J, Hingorani R and Peleg S 1992 A three-frame algorithm for estimating two-component image motion IEEE Trans. Pattern Anal. Mach. Intell. 14 886-96 (Pubitemid 23562568)
19. Nunes J C, Bouaoune Y, Delechelle E and Bunel P 2004 A multiscale elastic registration scheme for retinal angiograms Comput. Vis. Image Underst. 95 129-49
20. Black M J and Anandan P 1996 The robust estimation of multiple motions: parametric and piecewise-smooth flow fields Comput. Vis. Image Underst. 63 75-104 (Pubitemid 126342808)
21. Lava P, Cooreman S, Coppieters S, De Strycker M and Debruyne D 2009 Assessment of measuring errors in DIC using deformation fields generated by plastic FEA Opt. Lasers Eng. 47 747-53
22. Crdenas-García J F and Verhaegh J J E 1999 Catalogue of moiré fringes for a bi-axially-loaded infinite plate with a hole Mech. Reasearch Commun. 26 641-8
23. Doghri I 2000 Mechanics of Deformable Solids: Linear and Nonlinear, Analytical and Computational Aspects (Berlin: Springer)
24. De Boer A, Van Der Schoot M S and Bijl H 2007 Mesh deformation based on radial basis function interpolation Comput. Struct. 85 784-95 (Pubitemid 46719351)
25. Driscoll T A and Heryudono A R H 2007 Adaptive residual subsampling methods for radial basis function interpolation and collocation problems Comput. Math. Appl. 53 927-39
26. Sarra S A 2005 Adaptive radial basis function methods for time dependent partial differential equations Appl. Numer. Math. 54 79-94 (Pubitemid 40480045)
27. Zala C A and Barrodale I 1999 Warping aerial photographs to orthomaps using thin plate splines Adv. Comput. Math. 11 211-27
28. Rocha H 2009 On the selection of the most adequate radial basis function Appl. Math. Modelling 33 1573-83
29. Arad N, Dyn N, Reisfeld D and Yeshurun Y 1994 Image warping by radial basis functions: application to facial expressions CVGIP, Graph. Models Image Process. 56 161-72
30. Siddiqui A M, Masood A and Saleem M 2009 A locally constrained radial basis function for registration and warping of images Pattern Recognit. Lett. 30 377-90
31. Jung J-H 2007 A note on the Gibbs phenomenon with multiquadric radial basis functions Appl. Numer. Math. 57 213-29
32. Jung J-H and Durante V R 2009 An iterative adaptive multiquadric radial basis function method for the detection of local jump discontinuities Appl. Numer. Math. 59 1449-66
33. Perona P and Malik J 1990 Scale-space and edge detection using anisotropic diffusion IEEE Trans. Pattern Anal. Mach. Intell. 12 629-39 (Pubitemid 20726016)
34. Pan B, Asundi A, Xie H and Gao J 2009 Digital image correlation using iterative least squares and pointwise least squares for displacement field and strain field measurements Opt. Lasers Eng. 47 865-74
35. Kim Y-H, Martínez A M and Kak A C 2005 Robust motion estimation under varying illumination Image Vision Comput. 23 365-75
36. Blake A and Zisserman A 1987 Visual Reconstruction (Cambridge, MA: MIT Press)